AI Engine · by Anthropic
How Claude chooses which brands to recommend
- Where it gets sources
- Web search when enabled; training memory otherwise
- How it attributes
- Inline citations when search is used
How it picks who to name
It weights consistency heavily. Conflicting information about a brand tends to produce hedged language rather than a confident recommendation.
When searching, it prefers sources that state things plainly and can be attributed, and will say when it could not find something.
Its caution cuts both ways: thin evidence suppresses you, but clean, consistent evidence is rewarded with unusually direct statements.
How to get cited by Claude
- 1
Allow ClaudeBot and Claude-Web
ClaudeBot crawls broadly; Claude-Web fetches pages for live questions. Both need to reach you.
- 2
Remove contradictions first
Because Claude hedges on conflicting evidence, resolving inconsistent pricing and descriptions often produces a bigger lift here than new content.
- 3
Make claims verifiable
Specific, checkable statements backed by an independent source survive its caution; marketing adjectives do not.
What makes Claude different
The engine most likely to explicitly state that it could not verify something about a brand. That makes it a useful diagnostic — if Claude says it cannot find reviews for you, that gap is real and every engine is seeing it.
Does Claude name you?
We ask real buyer questions and show you the answer, the brands named instead, and every source cited.
Related questions
Decide the canonical version of every core fact, publish it plainly on your own site in both text and structured data, then propagate it to every profile you control and request correction everywhere you do not. Inconsistency is penalised because a model that finds three answers will confidently state none of them.
They are among the strongest single signals. AI engines routinely cite review platforms when justifying a recommendation, and a brand with no verifiable review presence gives the model nothing to point at. Engines will sometimes state outright that they could not find reviews for a brand — and then recommend a competitor whose ratings they can quote.
Almost always because the wrong information is findable and the right information is not — an outdated price on a directory, a stale description on a profile you forgot, or a competitor's page describing you inaccurately. Models reconcile conflicting sources by favouring what appears most consistently, not what is most authoritative.
Other AI engines
Frequently asked about Claude
How does Claude decide which brands to recommend?+
Claude answers from training memory by default and searches the web when the question needs current information. It is notably conservative about unverified claims — where evidence about a brand is thin or conflicting, it will hedge or decline to recommend rather than guess, which makes corroboration unusually important.
How do I get cited by Claude?+
Allow ClaudeBot and Claude-Web: ClaudeBot crawls broadly; Claude-Web fetches pages for live questions. Both need to reach you. Remove contradictions first: Because Claude hedges on conflicting evidence, resolving inconsistent pricing and descriptions often produces a bigger lift here than new content. Make claims verifiable: Specific, checkable statements backed by an independent source survive its caution; marketing adjectives do not.
Where does Claude get its information?+
Web search when enabled; training memory otherwise. Citations: inline citations when search is used.
What makes Claude different from other AI engines?+
The engine most likely to explicitly state that it could not verify something about a brand. That makes it a useful diagnostic — if Claude says it cannot find reviews for you, that gap is real and every engine is seeing it.